Sufficient Dimension Reduction for Average Causal Effect Estimation.
Debo ChengJiuyong LiLin LiuJixue LiuPublished in: CoRR (2020)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- high dimensional data
- high dimensional problems
- linear discriminant analysis
- random projections
- variable selection
- singular value decomposition
- feature space
- manifold learning
- feature selection
- data mining and machine learning
- high dimensionality
- dimension reduction methods
- discriminative information
- high dimensional data analysis
- cluster analysis
- dimensionality reduction
- partial least squares
- unsupervised learning
- preprocessing
- object recognition
- face recognition
- sparse representation
- input data
- probabilistic model
- data analysis
- pattern recognition
- image processing